{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 432x288 with 1 Axes>",
      "image/png": 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\n"
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "p = plt.plot([1, 2, 3, 4], [2, 3, 4, 5], color='r', linewidth=3)"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "outputs": [
    {
     "ename": "AttributeError",
     "evalue": "'list' object has no attribute 'show'",
     "output_type": "error",
     "traceback": [
      "\u001B[1;31m---------------------------------------------------------------------------\u001B[0m",
      "\u001B[1;31mAttributeError\u001B[0m                            Traceback (most recent call last)",
      "Input \u001B[1;32mIn [15]\u001B[0m, in \u001B[0;36m<cell line: 1>\u001B[1;34m()\u001B[0m\n\u001B[1;32m----> 1\u001B[0m \u001B[43mp\u001B[49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43mshow\u001B[49m()\n",
      "\u001B[1;31mAttributeError\u001B[0m: 'list' object has no attribute 'show'"
     ]
    }
   ],
   "source": [],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "outputs": [],
   "source": [],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}